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fix: math typo fixed
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docs/source/content/query_strategies/Acquisition-functions.rst

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@@ -14,7 +14,7 @@ The probability of improvement is defined by
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PI(x) = \psi\Big( \frac{\mu(x) - f(x^+) - \xi}{\sigma(x)} \Big),
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where :math:`\mu(x)` and :math:`\sigma(x)` are the mean and variance of the regressor at :math:`x`, :math:`f` is the function to be optimized with estimated maximum at :math:`x^+ `, :math:`\xi` is a parameter controlling the degree of exploration and :math:`\psi(z)` denotes the cumulative distribution function of a standard Gaussian distribution.
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where :math:`\mu(x)` and :math:`\sigma(x)` are the mean and variance of the regressor at :math:`x`, :math:`f` is the function to be optimized with estimated maximum at :math:`x^+`, :math:`\xi` is a parameter controlling the degree of exploration and :math:`\psi(z)` denotes the cumulative distribution function of a standard Gaussian distribution.
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.. image:: img/bo-PI.png
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:align: center

docs/source/content/query_strategies/Uncertainty-sampling.rst

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examples/multilabel_svm.py

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modAL/multilabel.py

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